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gpgpu
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ArrayFire: a general purpose GPU library.
Lightweight, cross-platform & full-featured shader IDE
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.
A .NET library to run C# code in parallel on the GPU through DX12, D2D1, and dynamically generated HLSL compute and pixel shaders, with the goal of making GPU computing easy to use for all .NET developers! 🚀
turbo.js - perform massive parallel computations in your browser with GPGPU.
💥💻💥 A data-parallel functional programming language
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
A GPU accelerated image and video processing framework built on Metal.
The write-once-run-anywhere GPGPU library for Rust
Compiler for multiple programming models (SYCL, C++ standard parallelism, HIP/CUDA) for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!
List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
An efficient C++17 GPU numerical computing library with Python-like syntax